Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	4872
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	571.1 KiB
Average record size in memory	120.0 B

Variable types

NUM	13
CAT	2

Warnings

citric_acid has 117 (2.4%) zeros Zeros

Reproduction

Analysis started	2020-11-21 16:50:49.402039
Analysis finished	2020-11-21 16:52:25.962095
Duration	1 minute and 36.56 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

Distinct	3974
Distinct (%)	81.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2041.144089
Minimum	0
Maximum	4897
Zeros	2
Zeros (%)	< 0.1%
Memory size	38.1 KiB

Quantile statistics

Minimum	0
5-th percentile	152.1
Q1	807
median	1652.5
Q3	3283.25
95-th percentile	4575.45
Maximum	4897
Range	4897
Interquartile range (IQR)	2476.25

Descriptive statistics

Standard deviation	1441.655691
Coefficient of variation (CV)	0.7062978546
Kurtosis	-1.117858499
Mean	2041.144089
Median Absolute Deviation (MAD)	1101.5
Skewness	0.4119395107
Sum	9944454
Variance	2078371.131
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	2	< 0.1%
262	2	< 0.1%
286	2	< 0.1%
294	2	< 0.1%
302	2	< 0.1%
306	2	< 0.1%
310	2	< 0.1%
318	2	< 0.1%
330	2	< 0.1%
338	2	< 0.1%
Other values (3964)	4852	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	2	< 0.1%
2	1	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
4897	1	< 0.1%
4896	1	< 0.1%
4895	1	< 0.1%
4894	1	< 0.1%
4893	1	< 0.1%

fixed_acidity
Real number (ℝ_≥0)

Distinct	105
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.234308292
Minimum	3.8
Maximum	15.9
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	3.8
5-th percentile	5.7
Q1	6.4
median	7
Q3	7.7
95-th percentile	9.9
Maximum	15.9
Range	12.1
Interquartile range (IQR)	1.3

Descriptive statistics

Standard deviation	1.324478017
Coefficient of variation (CV)	0.1830828828
Kurtosis	5.01084937
Mean	7.234308292
Median Absolute Deviation (MAD)	0.6
Skewness	1.744912248
Sum	35245.55
Variance	1.754242018
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.8	268	5.5%
6.6	241	4.9%
6.4	227	4.7%
6.9	216	4.4%
7.2	205	4.2%
6.7	193	4.0%
7.1	192	3.9%
7	188	3.9%
6.5	179	3.7%
7.3	176	3.6%
Other values (95)	2787	57.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.8	1	< 0.1%
4.2	2	< 0.1%
4.4	2	< 0.1%
4.5	1	< 0.1%
4.6	2	< 0.1%

Value	Count	Frequency (%)
15.9	1	< 0.1%
15.6	1	< 0.1%
15.5	2	< 0.1%
15	1	< 0.1%
14.3	1	< 0.1%

volatile_acidity
Real number (ℝ_≥0)

Distinct	185
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3435724548
Minimum	0.08
Maximum	1.58
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	0.08
5-th percentile	0.16
Q1	0.23
median	0.3
Q3	0.41
95-th percentile	0.68
Maximum	1.58
Range	1.5
Interquartile range (IQR)	0.18

Descriptive statistics

Standard deviation	0.1669408145
Coefficient of variation (CV)	0.4858969693
Kurtosis	3.024510996
Mean	0.3435724548
Median Absolute Deviation (MAD)	0.08
Skewness	1.531190873
Sum	1673.885
Variance	0.02786923556
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.24	203	4.2%
0.28	198	4.1%
0.26	198	4.1%
0.25	190	3.9%
0.22	179	3.7%
0.23	167	3.4%
0.27	162	3.3%
0.3	162	3.3%
0.2	160	3.3%
0.32	153	3.1%
Other values (175)	3100	63.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08	1	< 0.1%
0.085	1	< 0.1%
0.09	1	< 0.1%
0.1	4	0.1%
0.105	3	0.1%

Value	Count	Frequency (%)
1.58	1	< 0.1%
1.33	2	< 0.1%
1.24	1	< 0.1%
1.18	1	< 0.1%
1.13	1	< 0.1%

citric_acid
Real number (ℝ_≥0)

ZEROS

Distinct	89
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3189634647
Minimum	0
Maximum	1.66
Zeros	117
Zeros (%)	2.4%
Memory size	38.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05
Q1	0.25
median	0.31
Q3	0.39
95-th percentile	0.5645
Maximum	1.66
Range	1.66
Interquartile range (IQR)	0.14

Descriptive statistics

Standard deviation	0.1459710514
Coefficient of variation (CV)	0.4576419167
Kurtosis	2.720463079
Mean	0.3189634647
Median Absolute Deviation (MAD)	0.07
Skewness	0.5174778139
Sum	1553.99
Variance	0.02130754783
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3	257	5.3%
0.28	231	4.7%
0.26	202	4.1%
0.32	202	4.1%
0.49	198	4.1%
0.34	188	3.9%
0.29	184	3.8%
0.31	173	3.6%
0.27	168	3.4%
0.24	167	3.4%
Other values (79)	2902	59.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	117	2.4%
0.01	26	0.5%
0.02	39	0.8%
0.03	24	0.5%
0.04	31	0.6%

Value	Count	Frequency (%)
1.66	1	< 0.1%
1.23	1	< 0.1%
1	4	0.1%
0.99	1	< 0.1%
0.91	2	< 0.1%

residual_sugar
Real number (ℝ_≥0)

Distinct	299
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.442692939
Minimum	0.6
Maximum	65.8
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	0.6
5-th percentile	1.2
Q1	1.8
median	3.05
Q3	8.1
95-th percentile	15
Maximum	65.8
Range	65.2
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.747205898
Coefficient of variation (CV)	0.8722163736
Kurtosis	5.758810471
Mean	5.442692939
Median Absolute Deviation (MAD)	1.75
Skewness	1.534818269
Sum	26516.8
Variance	22.53596384
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	172	3.5%
1.4	164	3.4%
1.8	158	3.2%
1.6	158	3.2%
1.2	151	3.1%
2.1	141	2.9%
2.2	138	2.8%
1.9	134	2.8%
1.5	131	2.7%
2.3	127	2.6%
Other values (289)	3398	69.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.6	2	< 0.1%
0.7	6	0.1%
0.8	17	0.3%
0.9	28	0.6%
0.95	2	< 0.1%

Value	Count	Frequency (%)
65.8	1	< 0.1%
31.6	2	< 0.1%
26.05	1	< 0.1%
23.5	1	< 0.1%
22.6	1	< 0.1%

chlorides
Real number (ℝ_≥0)

Distinct	197
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.0561430624
Minimum	0.009
Maximum	0.611
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	0.009
5-th percentile	0.028
Q1	0.038
median	0.047
Q3	0.066
95-th percentile	0.1
Maximum	0.611
Range	0.602
Interquartile range (IQR)	0.028

Descriptive statistics

Standard deviation	0.03523188657
Coefficient of variation (CV)	0.6275376702
Kurtosis	53.05130162
Mean	0.0561430624
Median Absolute Deviation (MAD)	0.011
Skewness	5.487260087
Sum	273.529
Variance	0.001241285832
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.036	162	3.3%
0.044	147	3.0%
0.042	142	2.9%
0.046	141	2.9%
0.047	136	2.8%
0.05	134	2.8%
0.048	134	2.8%
0.04	130	2.7%
0.034	126	2.6%
0.045	126	2.6%
Other values (187)	3494	71.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.009	1	< 0.1%
0.012	3	0.1%
0.013	1	< 0.1%
0.014	4	0.1%
0.015	3	0.1%

Value	Count	Frequency (%)
0.611	1	< 0.1%
0.61	1	< 0.1%
0.464	1	< 0.1%
0.422	1	< 0.1%
0.415	1	< 0.1%

free_sulfur_dioxide
Real number (ℝ_≥0)

Distinct	132
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30.61514778
Minimum	1
Maximum	289
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	17
median	29
Q3	41
95-th percentile	61
Maximum	289
Range	288
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	17.96642208
Coefficient of variation (CV)	0.5868474719
Kurtosis	9.92286932
Mean	30.61514778
Median Absolute Deviation (MAD)	12
Skewness	1.38036536
Sum	149157
Variance	322.7923223
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29	137	2.8%
6	130	2.7%
26	120	2.5%
15	117	2.4%
31	116	2.4%
17	115	2.4%
34	115	2.4%
24	114	2.3%
35	113	2.3%
21	108	2.2%
Other values (122)	3687	75.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	48	1.0%
4	41	0.8%
5	103	2.1%

Value	Count	Frequency (%)
289	1	< 0.1%
146.5	1	< 0.1%
138.5	1	< 0.1%
131	1	< 0.1%
128	1	< 0.1%

total_sulfur_dioxide
Real number (ℝ_≥0)

Distinct	272
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	116.0587028
Minimum	6
Maximum	440
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	6
5-th percentile	19
Q1	78
median	118
Q3	156
95-th percentile	206
Maximum	440
Range	434
Interquartile range (IQR)	78

Descriptive statistics

Standard deviation	56.9460764
Coefficient of variation (CV)	0.4906661459
Kurtosis	-0.3094440636
Mean	116.0587028
Median Absolute Deviation (MAD)	39
Skewness	0.01981624191
Sum	565438
Variance	3242.855617
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
111	54	1.1%
113	50	1.0%
118	44	0.9%
110	44	0.9%
128	43	0.9%
98	43	0.9%
132	42	0.9%
122	41	0.8%
133	40	0.8%
131	40	0.8%
Other values (262)	4431	90.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	2	< 0.1%
7	2	< 0.1%
8	10	0.2%
9	14	0.3%
10	24	0.5%

Value	Count	Frequency (%)
440	1	< 0.1%
366.5	1	< 0.1%
344	1	< 0.1%
313	1	< 0.1%
307.5	1	< 0.1%

density
Real number (ℝ_≥0)

Distinct	935
Distinct (%)	19.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.9947374312
Minimum	0.98711
Maximum	1.03898
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	0.98711
5-th percentile	0.9899255
Q1	0.9924
median	0.99497
Q3	0.997
95-th percentile	0.9994
Maximum	1.03898
Range	0.05187
Interquartile range (IQR)	0.0046

Descriptive statistics

Standard deviation	0.003031426585
Coefficient of variation (CV)	0.003047464074
Kurtosis	8.614202103
Mean	0.9947374312
Median Absolute Deviation (MAD)	0.00227
Skewness	0.6344798903
Sum	4846.360765
Variance	9.189547142e-06
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9976	54	1.1%
0.9962	48	1.0%
0.998	48	1.0%
0.992	47	1.0%
0.9958	47	1.0%
0.9972	47	1.0%
0.9966	46	0.9%
0.9986	46	0.9%
0.9968	46	0.9%
0.9928	45	0.9%
Other values (925)	4398	90.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.98711	1	< 0.1%
0.98713	1	< 0.1%
0.9874	1	< 0.1%
0.98742	2	< 0.1%
0.98746	1	< 0.1%

Value	Count	Frequency (%)
1.03898	1	< 0.1%
1.0103	2	< 0.1%
1.00369	2	< 0.1%
1.0032	1	< 0.1%
1.00315	2	< 0.1%

pH
Real number (ℝ_≥0)

Distinct	106
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.217754516
Minimum	2.72
Maximum	4.01
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	2.72
5-th percentile	2.97
Q1	3.11
median	3.2
Q3	3.32
95-th percentile	3.5
Maximum	4.01
Range	1.29
Interquartile range (IQR)	0.21

Descriptive statistics

Standard deviation	0.1604890355
Coefficient of variation (CV)	0.04987609675
Kurtosis	0.3759502829
Mean	3.217754516
Median Absolute Deviation (MAD)	0.1
Skewness	0.3838651215
Sum	15676.9
Variance	0.02575673053
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.16	157	3.2%
3.14	144	3.0%
3.18	136	2.8%
3.19	132	2.7%
3.15	131	2.7%
3.2	131	2.7%
3.22	130	2.7%
3.1	120	2.5%
3.26	117	2.4%
3.17	116	2.4%
Other values (96)	3558	73.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.72	1	< 0.1%
2.74	2	< 0.1%
2.77	1	< 0.1%
2.79	3	0.1%
2.8	3	0.1%

Value	Count	Frequency (%)
4.01	1	< 0.1%
3.9	2	< 0.1%
3.85	1	< 0.1%
3.81	1	< 0.1%
3.8	1	< 0.1%

sulphates
Real number (ℝ_≥0)

Distinct	107
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5324753695
Minimum	0.22
Maximum	2
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	0.22
5-th percentile	0.35
Q1	0.43
median	0.51
Q3	0.6
95-th percentile	0.79
Maximum	2
Range	1.78
Interquartile range (IQR)	0.17

Descriptive statistics

Standard deviation	0.1484505251
Coefficient of variation (CV)	0.2787932244
Kurtosis	8.668378876
Mean	0.5324753695
Median Absolute Deviation (MAD)	0.08
Skewness	1.790216574
Sum	2594.22
Variance	0.02203755842
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	199	4.1%
0.54	181	3.7%
0.46	180	3.7%
0.44	169	3.5%
0.52	158	3.2%
0.38	156	3.2%
0.48	152	3.1%
0.47	149	3.1%
0.49	148	3.0%
0.53	146	3.0%
Other values (97)	3234	66.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.22	1	< 0.1%
0.23	1	< 0.1%
0.25	3	0.1%
0.26	4	0.1%
0.27	9	0.2%

Value	Count	Frequency (%)
2	1	< 0.1%
1.95	2	< 0.1%
1.61	1	< 0.1%
1.59	1	< 0.1%
1.56	1	< 0.1%

alcohol
Real number (ℝ_≥0)

Distinct	103
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.48427477
Minimum	8
Maximum	14.9
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	8
5-th percentile	8.9
Q1	9.5
median	10.3
Q3	11.3
95-th percentile	12.7
Maximum	14.9
Range	6.9
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	1.196296361
Coefficient of variation (CV)	0.1141038734
Kurtosis	-0.5171509477
Mean	10.48427477
Median Absolute Deviation (MAD)	0.9
Skewness	0.5770674868
Sum	51079.38667
Variance	1.431124983
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.5	279	5.7%
9.4	260	5.3%
9.2	197	4.0%
10	178	3.7%
10.5	175	3.6%
9.8	162	3.3%
9	157	3.2%
11	157	3.2%
10.4	145	3.0%
9.6	144	3.0%
Other values (93)	3018	61.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8	2	< 0.1%
8.4	5	0.1%
8.5	8	0.2%
8.6	21	0.4%
8.7	59	1.2%

Value	Count	Frequency (%)
14.9	1	< 0.1%
14.2	1	< 0.1%
14.05	1	< 0.1%
14	9	0.2%
13.9	2	< 0.1%

quality
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.806034483
Minimum	3
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	38.1 KiB

Quantile statistics

Minimum	3
5-th percentile	5
Q1	5
median	6
Q3	6
95-th percentile	7
Maximum	9
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8736314442
Coefficient of variation (CV)	0.1504695583
Kurtosis	0.2020304925
Mean	5.806034483
Median Absolute Deviation (MAD)	1
Skewness	0.1718342546
Sum	28287
Variance	0.7632319003
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	2099	43.1%
5	1630	33.5%
7	812	16.7%
4	168	3.4%
8	136	2.8%
3	24	0.5%
9	3	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	24	0.5%
4	168	3.4%
5	1630	33.5%
6	2099	43.1%
7	812	16.7%

Value	Count	Frequency (%)
9	3	0.1%
8	136	2.8%
7	812	16.7%
6	2099	43.1%
5	1630	33.5%

quality_level
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.1 KiB

Good	3729
Excellent	951
Bad	192

Frequencies
Length

Value	Count	Frequency (%)
Good	3729	76.5%
Excellent	951	19.5%
Bad	192	3.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	4
Mean length	4.936576355
Min length	3

wine_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.1 KiB

white	3656
red	1216

Frequencies
Length

Value	Count	Frequency (%)
white	3656	75.0%
red	1216	25.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	5
Median length	5
Mean length	4.500821018
Min length	3

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	df_index	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	chlorides	free_sulfur_dioxide	total_sulfur_dioxide	density	pH	sulphates	alcohol	quality	quality_level	wine_type
0	3372	5.6	0.15	0.26	5.55	0.051	51.0	139.0	0.99336	3.47	0.50	11.000000	6	Good	white
1	1094	7.4	0.24	0.31	8.40	0.045	52.0	183.0	0.99630	3.09	0.32	8.800000	5	Good	white
2	1514	6.9	0.84	0.21	4.10	0.074	16.0	65.0	0.99842	3.53	0.72	9.233333	6	Good	red
3	853	7.7	0.34	0.58	11.10	0.039	41.0	151.0	0.99780	3.06	0.49	8.600000	5	Good	white
4	3784	6.5	0.25	0.27	17.40	0.064	29.0	140.0	0.99776	3.20	0.49	10.100000	6	Good	white
5	3608	7.0	0.16	0.25	14.30	0.044	27.0	149.0	0.99800	2.91	0.46	9.200000	6	Good	white
6	22	7.9	0.43	0.21	1.60	0.106	10.0	37.0	0.99660	3.17	0.91	9.500000	5	Good	red
7	118	7.2	0.31	0.50	13.30	0.056	68.0	195.0	0.99820	3.01	0.47	9.200000	5	Good	white
8	1001	9.9	0.35	0.38	1.50	0.058	31.0	47.0	0.99676	3.26	0.82	10.600000	7	Excellent	red
9	3461	6.7	0.24	0.30	3.85	0.042	105.0	179.0	0.99189	3.04	0.59	11.300000	8	Excellent	white

Last rows

	df_index	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	chlorides	free_sulfur_dioxide	total_sulfur_dioxide	density	pH	sulphates	alcohol	quality	quality_level	wine_type
4862	959	8.0	0.590	0.05	2.0	0.089	12.0	32.0	0.99735	3.36	0.61	10.0	5	Good	red
4863	1593	8.6	0.160	0.49	7.3	0.043	9.0	63.0	0.99530	3.13	0.59	10.5	6	Good	white
4864	345	7.0	0.685	0.00	1.9	0.067	40.0	63.0	0.99790	3.60	0.81	9.9	5	Good	red
4865	1352	7.6	0.645	0.03	1.9	0.086	14.0	57.0	0.99690	3.37	0.46	10.3	5	Good	red
4866	964	8.5	0.470	0.27	1.9	0.058	18.0	38.0	0.99518	3.16	0.85	11.1	6	Good	red
4867	320	9.8	0.660	0.39	3.2	0.083	21.0	59.0	0.99890	3.37	0.71	11.5	7	Excellent	red
4868	4060	6.4	0.410	0.01	6.1	0.048	20.0	70.0	0.99362	3.19	0.42	10.0	5	Good	white
4869	1346	7.0	0.460	0.39	6.2	0.039	46.0	163.0	0.99280	3.21	0.35	12.2	7	Excellent	white
4870	3454	5.8	0.540	0.00	1.4	0.033	40.0	107.0	0.98918	3.26	0.35	12.4	5	Good	white
4871	3582	6.3	0.320	0.32	1.5	0.037	12.0	76.0	0.98993	3.30	0.46	12.3	6	Good	white

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows